基于中台架构利用支持向量回归实现图书馆智慧化服务——以天津商业大学图书馆为例

Realizing Intelligent Service of Library by Using SVR Based on Middle Platform——Taking Tianjin University of Commerce Library as an Example

文章以天津商业大学图书馆历年用户入馆量为例,通过支持向量回归(Support Vector Regression,SVR)算法建立模型,并基于实验模型利用实际数据分析和预测验证了中台架构的可行性,为实现图书馆门禁系统的智慧化管理和服务提供依据,也为高校图书馆基于中台架构的智慧化服务提供参考。

Taking users’library entry volume of Tianjin University of Commerce Library over the years as an example,the paper uses Support Vector Regression Algorithm(SVR)to establish the model.Based on the experimental model and the analysis and prediction of actual data,the feasibility of the middle platform architecture is verified.It provides a basis for the intelligent management and service of the library access control system,and gives reference to the intelligent service of university library based on the middle platform architecture.